Best Tips for Data Science Enthusiast!
I have summarized in this text best tips for data scientists to progress along their career.
Whether you’re just starting or you want to go from junior to mid or mid to senior, there’s something new here for you.
It's good to know about regression, Clustering,classification ensemble models however theses algorithms are now being taken care by Auto ML packages.
Now, the hiring organisations are
not giving more importance if you fill up your resume with these algorithms.
Rather the focus is more one how good you are in following areas.
1. How you approach a given business problem.
2. What different types of hypothesis you generate.( This is very important step)
3. How you decide that a given problem statement is just a metrics or standard deviation or a predictive analytics.
4. Lastly, how well you can articulate and explain the analysis outcome.
If you are focused on this, you are in right path.
Remember algorithms can be automated by Auto ML tools and packages but the above mentioned 4 points cannot be automated as each problem statement is unique and this can be done only by human brain and not by any tools.
credit : Sundar Ramamurthy
Happy Learning!!
Whether you’re just starting or you want to go from junior to mid or mid to senior, there’s something new here for you.
It's good to know about regression, Clustering,classification ensemble models however theses algorithms are now being taken care by Auto ML packages.
Now, the hiring organisations are
not giving more importance if you fill up your resume with these algorithms.
Rather the focus is more one how good you are in following areas.
1. How you approach a given business problem.
2. What different types of hypothesis you generate.( This is very important step)
3. How you decide that a given problem statement is just a metrics or standard deviation or a predictive analytics.
4. Lastly, how well you can articulate and explain the analysis outcome.
If you are focused on this, you are in right path.
Remember algorithms can be automated by Auto ML tools and packages but the above mentioned 4 points cannot be automated as each problem statement is unique and this can be done only by human brain and not by any tools.
credit : Sundar Ramamurthy
Happy Learning!!
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